Project-based knowledge maps: Combining project mining and XML-enabled topic maps

Duen-Ren Liu*, Chouyin Hsu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Many enterprises implement various business projects on the Internet in the global knowledge economy. The task of managing distributed and heterogeneous project knowledge is very important in increasing the knowledge assets of enterprises. Accordingly, this work presents a project-based knowledge map system to properly organize project knowledge into topic maps, from which users can obtain in-depth concepts to facilitate further project development. A two-phase data mining approach involving the ISO/ISEC 13250 topic maps and Extensible Markup Language (XML) is used to establish the proposed system, which can determine knowledge patterns from previous projects and transform these patterns into a navigable knowledge map. The map can help users to locate required information and also offers subject-related information easily and rapidly over the Internet.

Original languageEnglish
Pages (from-to)254-266
Number of pages13
JournalInternet Research
Volume14
Issue number3
DOIs
StatePublished - 19 Jul 2004

Keywords

  • Data handling
  • Extensible Markup Language
  • Internet
  • Knowledge management
  • Topic maps

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